Computer Science

Diffusion for World Modeling: Visual Details Matter in Atari

E. Alonso, A. Jelley, et al.

DIAMOND trains reinforcement learning agents inside a diffusion-based world model to capture richer visual details and improve agent performance, achieving a mean human normalized score of 1.46 on the Atari 100k benchmark and demonstrating a playable neural game engine on Counter-Strike: Global Offensive — research conducted by Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret.... show more

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